Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.
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Impact of Shoulder Abduction Loading on Brain-Machine Interface in Predicting Hand Opening and Closing in Individuals With Chronic StrokeKinematic and neurophysiological consequences of an assisted-force-feedback brain-machine interface training: a case study.Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filtersCase report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disability.Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface deviceTopographical measures of functional connectivity as biomarkers for post-stroke motor recovery.Changes in functional brain organization and behavioral correlations after rehabilitative therapy using a brain-computer interfaceCortex integrity relevance in muscle synergies in severe chronic stroke.A large clinical study on the ability of stroke patients to use an EEG-based motor imagery brain-computer interface.BCI-FES: could a new rehabilitation device hold fresh promise for stroke patients?A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applicationsAn approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by genderEEG classification of different imaginary movements within the same limbRehabilitation of gait after stroke: a review towards a top-down approach.The impact of mind-body awareness training on the early learning of a brain-computer interface.Dose-response relationships using brain-computer interface technology impact stroke rehabilitationParietofrontal integrity determines neural modulation associated with grasping imagery after stroke.MEG-based neurofeedback for hand rehabilitation.Event related desynchronization-modulated functional electrical stimulation system for stroke rehabilitation: a feasibility study.EEG oscillatory patterns and classification of sequential compound limb motor imageryEffects of training pre-movement sensorimotor rhythms on behavioral performance.Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysisIncreased motor cortex excitability during motor imagery in brain-computer interface trained subjects.Rehabilitation with poststroke motor recovery: a review with a focus on neural plasticity.Precision grip in congenital and acquired hemiparesis: similarities in impairments and implications for neurorehabilitation.Assisting drinking with an affordable BCI-controlled wearable robot and electrical stimulation: a preliminary investigation.A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke.Effects of Action Observational Training Plus Brain-Computer Interface-Based Functional Electrical Stimulation on Paretic Arm Motor Recovery in Patient with Stroke: A Randomized Controlled Trial.Brain-Machine Interfaces: From Basic Science to Neuroprostheses and Neurorehabilitation.Compensating for thalamocortical synaptic loss in Alzheimer's disease.Behavioral and Cortical Effects during Attention Driven Brain-Computer Interface Operations in Spatial Neglect: A Feasibility Case Study.A brain-computer interface driven by imagining different force loads on a single hand: an online feasibility study.Reinforcement learning of self-regulated β-oscillations for motor restoration in chronic stroke.Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms.Investigating the impact of feedback update interval on the efficacy of restorative brain-computer interfaces.Target-directed motor imagery of the lower limb enhances event-related desynchronization.Early detection of hand movements from electroencephalograms for stroke therapy applications.Facilitating motor imagery-based brain-computer interface for stroke patients using passive movement.Sensory Feedback Interferes with Mu Rhythm Based Detection of Motor Commands from Electroencephalographic Signals.
P2860
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P2860
Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.
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2010 nî lūn-bûn
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2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
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2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
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name
Applying a brain-computer inte ...... recovery: a feasibility study.
@ast
Applying a brain-computer inte ...... recovery: a feasibility study.
@en
Applying a brain-computer inte ...... recovery: a feasibility study.
@nl
type
label
Applying a brain-computer inte ...... recovery: a feasibility study.
@ast
Applying a brain-computer inte ...... recovery: a feasibility study.
@en
Applying a brain-computer inte ...... recovery: a feasibility study.
@nl
prefLabel
Applying a brain-computer inte ...... recovery: a feasibility study.
@ast
Applying a brain-computer inte ...... recovery: a feasibility study.
@en
Applying a brain-computer inte ...... recovery: a feasibility study.
@nl
P2093
P2860
P356
P1476
Applying a brain-computer inte ...... recovery: a feasibility study.
@en
P2093
Girijesh Prasad
Jacqueline Crosbie
Pawel Herman
P2860
P2888
P356
10.1186/1743-0003-7-60
P577
2010-12-14T00:00:00Z
P5875
P6179
1041127871